Measure

# precision

Precision is defined as the number of true positive (TP) predictions, divided by the sum of the number of true positives and false positives (TP+FP): $$\text{Precision}=\frac{tp}{tp+fp} \,$$ It is also referred to as the Positive predictive value (PPV). See: http://en.wikipedia.org/wiki/Precision_and_recall Precision is defined only for a specific class value, and should thus be labeled with the class value for which is was computed. Use the mean_weighted_precision for the weighted average over all class values.

## Properties

 Minimum value 0 Maximum value 0 Unit Optimization Higher is better